Headline

SDE-2 @ Rupeek | Ex-Bajaj Finserv | Backend Engineer | Java, Spring Boot, Distributed Systems | Scalable Microservices on AWS & Azure

About

I’m a Software Development Engineer (SDE-2) with hands-on experience designing and scaling distributed backend systems using Java, Spring Boot, and microservices architecture. Over the past few years at Rupeek and Bajaj Finserv, I’ve built AI-assisted collaboration platforms, implemented real-time data pipelines using Kafka and Azure Event Hub, and improved system throughput and latency by double-digit percentages. My core strengths lie in system design, cloud-native development (AWS, Azure, Docker, Kubernetes), and integrating data-driven solutions into production-grade systems. I’m passionate about backend scalability and performance optimization, and I’m now focused on leveraging distributed systems and AI to solve complex, high-impact problems at scale. Open to discussing backend, platform, or distributed systems engineering opportunities in fast-scaling product teams.

Location

Bengaluru

AI stack

antigravity

claude code

claude

cursor

claudecode

huggingface

Work experience

Software Developement Engineer 2 at Rupeek, Sep 2025 - Present · 1 y, Bengaluru, Karnataka, India, 1) Proposed and led the migration to self-hosted Temporal for durable workflow orchestration, designing and validating the platform with Kubernetes load testing before scaling it to 10K ST/hour and reducing orchestration costs by 8x org-wide. 2) Architected and built a distributed Sliding Window Rate Limiter from scratch using Redis + Lua operations, backed by a retry queue and DLQ for failure recovery; handling 22K requests/day, shipped to production with zero incidents. 3) Driving the LLD and migration of the Lender Integration Service to a config-driven JSON DSL stored in a DB table, replacing lender-specific code; targeting a reduction in onboarding time with deployment-free lender onboarding. 4) Owned architecture for a multi-protocol integration layer (REST, async, webhooks, SOAP) behind a common tool-interface abstraction, handling 4K requests/min in production across 5 external systems

Senior Software Engineer at Bajaj Finserv, Aug 2024 - Jul 2025 · 1 yr, • Proposed, architected, and built a Semantic Search engine end-to-end using pgVector and OpenAI embeddings, enabling top-K similarity search with query rewriting and taxonomy-based filtering ,improving knowledge discovery efficiency by 40%. • Built a distributed, priority-driven event orchestration system (inspired by Meta’s FOQS) processing 15k events/min across 4 microservices, dynamically scheduling delayed events and dispatching to AWS SQS for parallel execution, improving SLA adherence by 35%. • Engineered an asynchronous eSign callback system (Kafka + DLQ), converting a blocking 10–60s wait into a non-blocking flow — cutting customer wait time to <15s and eliminating timeout failures across the journey. • Engineered and deployed Rapid LR, a modular re-engagement platform integrating 8 workflows across SMS, push notifications, and calls using Java, Spring Boot, and Kafka — boosting revenue by 40%, lead conversions by 35%. • Piloted integration of Small Language Models (SLMs) including Qwen and Gemma within engagement workflows to auto-generate personalized communication content, improving click-through rates by 7% during pilot runs.

Software Engineer at Bajaj Finserv, Jul 2022 - Aug 2024 · 2 yrs 2 mos, Pune, Maharashtra, India, 1) Developed a reusable SDK for TimeSeries DB, standardizing data ops across 15+ microservices and reducing integration effort by 20%. 2) Optimized Cosmos DB queries and indexing to handle millions of records, boosting throughput by 30% and lowering latency. 3) Enhanced REST API performance and caching, improving app responsiveness by 20%. 4) Migrated event sync process from batch to real-time, improving lead assignment accuracy and sales efficiency by 20%. 5) Accelerated collections data pipeline via Java multithreading, processing 90M+ records with improved efficiency. 6) Hardened codebase by remediating vulnerabilities and validating patches with JUnit and Mocha.

Data Engineer Intern at Bajaj Finserv, Jan 2022 - Jul 2022 · 7 mos, Pune, Maharashtra, India

Software Engineer Intern at ExpertsHub, Feb 2021 - Mar 2021 · 2 mos

Software Engineer Intern at RoboRAM Technologies, Sep 2020 - Oct 2020 · 2 mos

Marketing Staff at SPIE, the international society for optics and photonics, Jul 2019 - Jun 2020 · 1 yr, Chennai, Tamil Nadu, India

Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, Vellore Institute of Technology

PCM, Chinmaya Vidyalaya, Bokaro Steel City

Public links

github: https://github.com/Anand-rahul

leetcode: https://leetcode.com/anandrahul596

anandrahul.com: https://anandrahul.com/